ArticleCureus2023
A Cross-Sectional Study Comparing the Efficacy of Various Growth Charts in Evaluating the Incidences of Small for Gestational Age and Large for Gestational Age at Birth Among Liveborn Neonates Delivered at a Tertiary Teaching Hospital.
Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 2 citations in OpenAlex.
- Article
- Updated Size at Birth Charts for South Indian Neonates: Correspondence.Indian journal of pediatrics · 2025Article
- Comparative analysis of INTERGROWTH-21st and Fenton growth charts for birthweight classification in a multiethnic Asian cohort: a cross-sectional study.BMJ paediatrics open · 2024Article
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3 authors at 2 institutions in 1 country.
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Abstract
Background and objective Growth charts are important in monitoring the growth of neonates. The growth of Indian fetuses is understood to be different from the Western population due to multiple factors. In this study, we aimed to analyze the utility of the application of various growth charts in evaluating the birth weights of liveborn neonates at a tertiary teaching hospital. Methodology A total of 729 liveborn neonates between 24 to 42 weeks of gestation delivered at the study institute during the study period were included. Birth weights were plotted on three growth charts - Fenton 2013, INTERGROWTH-21st (IG-21), and Kandraju et al. chart - and classified as small for gestational age (SGA), or appropriate for gestational age (AGA), or large for gestational age (LGA) according to the respective centiles and sex. The incidences of SGA and LGA were calculated with respect to various charts and compared. Statistical analysis was done using the McNemar Chi-square test for paired categorical variables. Cohen's kappa (K) was used to analyze the concordance between the growth charts. A p-value <0.005 was considered statistically significant. Results Among 668 term neonates, the number of neonates classified as SGA was 313 (46.86%), 236 (35.33%), and 219 (32.78%) according to Fenton 2013, IG-21, and Kandraju et al. chart respectively. The difference in incidences of SGA between Fenton 2013 and IG-21 for term neonates was significant (p=0.0001). The difference between incidences of SGA among term neonates according to Fenton 2013 and Kandraju et al. and IG-21 vs. Kandraju et al. was significant (p=0.0001). Among 61 preterm neonates, the number of neonates classified as SGA was 15, 11, and five according to Fenton 2013, IG-21, and Kandraju et al. respectively. There was no statistically significant difference between the three charts. Among 729 neonates, the number of neonates classified as LGA was 10 (1.37%), 22 (3.02%), and 32 (4.39%) according to Fenton 2013, IG-21, and Kandraju, et al. respectively. The difference in incidences of LGA between Fenton 2013 and IG-21 was significant (p=0.0015). The difference in incidences of LGA between Fenton 2013 and Kandraju et al. was significant (p=0.0001). The difference in incidences of LGA between IG-21 and Kandraju et al. was also significant (p=0.0044). Conclusion Fenton 2013, IG-21, and Kandraju et al. growth charts vary significantly in detecting the incidence of SGA and LGA among term neonates. Among term neonates, IG-21 and Kandraju et al. growth charts are comparable in terms of the estimation of SGA. The Fenton 2013 growth chart showed a higher incidence of SGA among term neonates. The incidence of LGA was highest according to Kandraju et al. growth chart and least according to Fenton 2013. Among preterm neonates, the incidence of SGA as per birth weight was comparable across the three growth charts.
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